4.7 Article

A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection

Xiaodong Ren et al.

Summary: Surrogate-assisted evolutionary algorithms, particularly hierarchical ones, have been effective in solving computationally expensive optimization problems by reducing real fitness evaluations. This study introduces a new hierarchical SAEA that uses random projection technique to train local surrogate models, significantly improving their accuracy and showing clear advantages over state-of-the-art SAEAs in experiments on benchmark functions of 100 and 200 dimensions.

COMPLEX & INTELLIGENT SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios

Handing Wang et al.

Summary: Minimax optimization is a widely-used approach for robust design in multiple scenarios, but can become computationally prohibitive. This study employs evolutionary multitasking optimization and surrogate techniques to address the challenges, finding efficient solutions even with limited computational budget.

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2021)

Article Computer Science, Artificial Intelligence

Offline data-driven evolutionary optimization based on tri-training

Pengfei Huang et al.

Summary: This study introduces semi-supervised learning to offline data-driven evolutionary optimization by utilizing the tri-training algorithm to overcome data deficiency. Experimental results demonstrate that the proposed method is competitive on problems with up to 500 decision variables.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Article Computer Science, Artificial Intelligence

Multi-stage dimension reduction for expensive sparse multi-objective optimization problems

Zheng Tan et al.

Summary: The proposed multi-stage dimension reduction method effectively reduces the dimension of sparse multi-objective optimization problems by non-dominated sorting based feature selection and adaptive evolutionary process, enabling surrogate-assisted evolutionary algorithms to handle such problems.

NEUROCOMPUTING (2021)

Article Automation & Control Systems

Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates

Jian-Yu Li et al.

Summary: The proposed DDEA-PES framework improves data utilization and surrogate accuracy through diverse surrogate generation and selective ensemble methods. Experimental results show that the DDEA-PES algorithm outperforms some state-of-the-art DDEAs and requires only about 2% computational budgets compared to traditional nondata-driven methods.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Computer Science, Theory & Methods

Stable bagging feature selection on medical data

Salem Alelyani

Summary: In the medical field, identifying relevant genes for a specific disease is crucial but challenging due to the curse of dimensionality. This paper proposes an ensemble approach based on the bagging technique to improve feature selection stability in medical datasets by reducing data variance. Experimental results show a significant improvement in stability while maintaining classification accuracy, with stability enhancement ranging from 20 to 50 percent.

JOURNAL OF BIG DATA (2021)

Article Computer Science, Artificial Intelligence

A survey on feature selection approaches for clustering

Emrah Hancer et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

Article Computer Science, Information Systems

Binary differential evolution with self-learning for multi-objective feature selection

Yong Zhang et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

Yanan Sun et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Review Computer Science, Artificial Intelligence

Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review

J. Carrasco et al.

SWARM AND EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding

Shuai Wang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Appropriateness of performance indices for imbalanced data classification: An analysis

Sankha Subhra Mullick et al.

PATTERN RECOGNITION (2020)

Article Computer Science, Artificial Intelligence

Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation

Jian-Yu Li et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data

Xian-Fang Song et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions

Cuie Yang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles

Handing Wang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

Data-Driven Evolutionary Optimization: An Overview and Case Studies

Yaochu Jin et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification

Binh Tran et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

Feature selection based on brain storm optimization for data classification

Farhad Pourpanah et al.

APPLIED SOFT COMPUTING (2019)

Article Computer Science, Information Systems

Memetic feature selection for multilabel text categorization using label frequency difference

Jaesung Lee et al.

INFORMATION SCIENCES (2019)

Article Computer Science, Information Systems

An evolutionary gravitational search-based feature selection

Mohammad Taradeh et al.

INFORMATION SCIENCES (2019)

Article Computer Science, Information Systems

Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification

Yu Xue et al.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2019)

Article Computer Science, Artificial Intelligence

A Novel Evolutionary Sampling Assisted Optimization Method for High-Dimensional Expensive Problems

Xinjing Wang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Automation & Control Systems

An Embedded Feature Selection Method for Imbalanced Data Classification

Haoyue Liu et al.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2019)

Article Computer Science, Information Systems

Surrogate-assisted hierarchical particle swarm optimization

Haibo Yu et al.

INFORMATION SCIENCES (2018)

Article Computer Science, Artificial Intelligence

EFS-MI: an ensemble feature selection method for classification An ensemble feature selection method

Nazrul Hoque et al.

COMPLEX & INTELLIGENT SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Challenges of Feature Selection for Big Data Analytics

Jundong Li et al.

IEEE INTELLIGENT SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization

Mohammad Nabi Omidvar et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2017)

Article Computer Science, Artificial Intelligence

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information

Yaojin Lin et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Review Computer Science, Artificial Intelligence

Recent advances in feature selection and its applications

Yun Li et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Exploiting distinctive topological constraint of local feature matching for logo image recognition

Panpan Tang et al.

NEUROCOMPUTING (2017)

Article Computer Science, Artificial Intelligence

A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy

Parham Moradi et al.

APPLIED SOFT COMPUTING (2016)

Article Computer Science, Artificial Intelligence

Hybrid feature selection based on enhanced genetic algorithm for text categorization

Abdullah Saeed Ghareb et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

A Survey on Evolutionary Computation Approaches to Feature Selection

Bing Xue et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)

Article Computer Science, Artificial Intelligence

Distributed feature selection: An application to microarray data classification

V. Bolon-Canedo et al.

APPLIED SOFT COMPUTING (2015)

Article Computer Science, Artificial Intelligence

Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization

Mohammad Nabi Omidvar et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)

Article Computer Science, Artificial Intelligence

Feature selection with test cost constraint

Fan Min et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2014)

Article Automation & Control Systems

Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach

Bing Xue et al.

IEEE TRANSACTIONS ON CYBERNETICS (2013)

Article Computer Science, Artificial Intelligence

Investigation of efficient features for image recognition by neural networks

Alexander Goltsev et al.

NEURAL NETWORKS (2012)

Article Computer Science, Artificial Intelligence

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquin Derrac et al.

SWARM AND EVOLUTIONARY COMPUTATION (2011)

Article Computer Science, Artificial Intelligence

Generalizing Surrogate-Assisted Evolutionary Computation

Dudy Lim et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2010)

Article Computer Science, Artificial Intelligence

Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model

Qingfu Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2010)

Article Computer Science, Artificial Intelligence

Variable selection using random forests

Robin Genuer et al.

PATTERN RECOGNITION LETTERS (2010)

Article Computer Science, Information Systems

Large scale evolutionary optimization using cooperative coevolution

Zhenyu Yang et al.

INFORMATION SCIENCES (2008)

Article Automation & Control Systems

Genetic programming for simultaneous feature selection and classifier design

DP Muni et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2006)

Article Computer Science, Artificial Intelligence

Consistency-based search in feature selection

M Dash et al.

ARTIFICIAL INTELLIGENCE (2003)